QoS Guarantees for Industrial IoT Applications over LTE - a Feasibility Study

Orosz, Péter; Varga, Pál; Soós, Gábor; Hegedűs, Csaba

doi:10.1109/icphys.2019.8780308

Cited by 7 publications

(10 citation statements)

References 7 publications

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“…QoS improvement for SoS integration. [52,53] Semiconductor industry Fast and reliable solutions for semiconductor industry. Automation tools merge with product lifecycle tools Improvement of new IoT systems performances and efficiency.…”

Section: Deployment and Configuration Of Sos Systemsmentioning

confidence: 99%

“…[48][49][50][51] Deployment and configuration of SoS systems QoS improvement for SoS integration. [52,53] Semiconductor industry Fast and reliable solutions for semiconductor industry.…”

Section: Sos Engineering Of Iot Devices (Including Energy Domain)mentioning

confidence: 99%

“…The results outlined that the development pace and efficiency of the enterprise have been improved by 50-75% when using the Arrowhead Framework and changing development processes/practices. Not only criteria related to efficiency and security must be taken into consideration when using Arrowhead Framework architecture, but QoS should be a key performance parameter [53][54][55]. In [53], the performances of a Long-Term Evolution (LTE) network (with a maximum capacity of the radio cell of 60/30 mbps) in different scenarios of IIoT intra-cloud use cases are evaluated considering the model for the edge level Arrowhead Local Cloud in Arrowhead Framework and Arrowhead Core devices (provider and consumer).…”

Section: Local Clouds Autonomous Configuration Deployment and Configmentioning

confidence: 99%

“…Not only criteria related to efficiency and security must be taken into consideration when using Arrowhead Framework architecture, but QoS should be a key performance parameter [53][54][55]. In [53], the performances of a Long-Term Evolution (LTE) network (with a maximum capacity of the radio cell of 60/30 mbps) in different scenarios of IIoT intra-cloud use cases are evaluated considering the model for the edge level Arrowhead Local Cloud in Arrowhead Framework and Arrowhead Core devices (provider and consumer). The LTE management tools is configured using a dedicated QoS Class Identifier (QCI) traffic class for the delay sensitive Arrowhead traffic.…”

Section: Local Clouds Autonomous Configuration Deployment and Configmentioning

confidence: 99%

“…Smart municipality [55], smart city services [56,57], utilities systems control in urban environment [58], energy optimization and next-generation building management systems [59], This delay achieved with an Arrowhead application service provider can be overcome by using "SDR-less LTE micro-cells, or by the upcoming 5G networking technologies" [53].…”

Section: Arrowhead Framework In the Landscape Of Smart City Frameworkmentioning

confidence: 99%

See 4 more Smart Citations

Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture

Marcu

Suciu²,

Balaceanu³

et al. 2020

Sensors

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The Internet of Things (IoT) concept has met requirements for security and reliability in domains like automotive industry, food industry, as well as precision agriculture. Furthermore, System of Systems (SoS) expands the use of local clouds for the evolution of integration and communication technologies. SoS devices need to ensure Quality of Service (QoS) capabilities including service-oriented management and different QoS characteristics monitoring. Smart applications depend on information quality since they are driven by processes which require communication robustness and enough bandwidth. Interconnectivity and interoperability facilities among different smart devices can be achieved using Arrowhead Framework technology via its core systems and services. Arrowhead Framework is targeting smart IoT devices with wide applicability areas including smart building, smart energy, smart cities, smart agriculture, etc. The advantages of Arrowhead Framework can be underlined by parameters such as transmission speed, latency, security, etc. This paper presents a survey of Arrowhead Framework in IoT/SoS dedicated architectures for smart cities and smart agriculture developed around smart cities, aiming to outline its significant impact on the global performances. The advantages of Arrowhead Framework technology are emphasized by analysis of several smart cities use-cases and a novel architecture for a telemetry system that will enable the use of Arrowhead technology in smart agriculture area is introduced and detailed by authors.

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Section: Deployment and Configuration Of Sos Systemsmentioning

confidence: 99%

“…[48][49][50][51] Deployment and configuration of SoS systems QoS improvement for SoS integration. [52,53] Semiconductor industry Fast and reliable solutions for semiconductor industry.…”

Section: Sos Engineering Of Iot Devices (Including Energy Domain)mentioning

confidence: 99%

Section: Local Clouds Autonomous Configuration Deployment and Configmentioning

confidence: 99%

Section: Local Clouds Autonomous Configuration Deployment and Configmentioning

confidence: 99%

Section: Arrowhead Framework In the Landscape Of Smart City Frameworkmentioning

confidence: 99%

See 3 more Smart Citations

Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture

Marcu

Suciu²,

Balaceanu³

et al. 2020

Sensors

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QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

et al. 2022

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Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging in the market and competing to offer their services. Many IoT applications utilize these services in an integrated manner with different Quality-of-Service (QoS) requirements. Thus, the provisioning of end-to-end QoS is getting more indispensable for IoT platforms. However, provisioning the system by using only QoS metrics without considering user experiences is not sufficient. Recently, Quality of Experience (QoE) model has become a promising approach to quantify actual user experiences of services. A holistic design approach that considers constraints of various QoS/QoE metrics together is needed to satisfy requirements of these applications and services. Besides, IoT services may operate in environments with limited resources. Therefore, effective management of services and system resources is essential for QoS/QoE support. This paper provides a comprehensive survey for the state-of-the-art studies on IoT services with QoS/QoE perspective. Our contributions are threefold: (1) QoEdriven architecture is demonstrated by classifying vital components according to QoE-related functions in prior studies, (2) QoE metrics and QoE optimization objectives are classified by corresponding system and resource control problems in the architecture, and (3) QoE-aware resource management e.g., QoE-aware offloading, placement and data caching policies with recent Machine Learning approaches are extensively reviewed. INDEX TERMSInternet of Things, Quality of Service, Quality of Experience, IoT services, IoT applications, QoS for IoT services, QoS metrics, QoE metrics, IoT architecture Recently, emerging IoT architectures with multi-layers, e.g., Mobile Edge Computing (MEC), Fog Computing and Cloud Computing, have been proposed to improve user experiences.

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On Terrestrial and Satellite communications for telecommunication future

Kokez

2020

2020 2nd Annual International Conference on Information and Sciences (AiCIS)

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QoS Guarantees for Industrial IoT Applications over LTE - a Feasibility Study

Cited by 7 publications

References 7 publications

Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture

Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

On Terrestrial and Satellite communications for telecommunication future

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